I am a Ph.D. student in Prof. Jiawei Han’s Data Mining Group (DMG) at University of Illinois at Urbana-Champaign (UIUC). I obtained my M.S. degree and B.S. degree also at UIUC, in Computer Science and Computer Engineering respectively.
I am especially passionate about developing unsupervised and weakly-supervised (i.e., requires minimal human supervision) text mining techniques for organizing and exploring text data. As such, I work at the intersection of data mining, natural language processing and applied machine learning. In the long run, my research is dedicated to mining structured knowledge from large-scale text data in label-efficient ways.
[2020.09] Two papers on Weakly-Supervised Text Classification and Aspect-Based Sentiment Analysis have been accepted by EMNLP 2020!
[2020.08] One paper on Text Outlier Detection has been accepted by ICDM 2020!
[2020.05] Two papers on Hierarchical Topic Mining and Taxonomy Construction have been accepted by KDD 2020!
[2020.05] Our tutorial on Embedding-Driven Text Analysis has been accepted by KDD 2020!
[2020.04] One paper on Text Classification with Meta Data has been accepted by SIGIR 2020!
[2019.10] My summer intern work at Google on Email Search has been accepted by WSDM 2020!
[2019.09] My work on Spherical Text Embedding has been accepted by NeurIPS 2019!
Ph.D. (Current) in Computer Science, University of Illinois at Urbana-Champaign
Advisor: Prof. Jiawei Han
Office: Room 1113, Thomas M. Siebel Center, 201 N. Goodwin Avenue, Urbana, IL 61801